面向边缘计算的MSCA新方法

De-gan Zhang, Haoli Zhu, Ting Zhang, Jiaxu Wang
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引用次数: 0

摘要

创新性地利用边缘计算技术构建节点数据缓存模型,分步计算节点信道分离,提出了一种边缘计算多策略信道分配算法(MSCA)。该算法的机制是利用边缘计算技术将数据预先存储在组播树的节点中,并计算节点之间的信道间隔,然后选择干扰最小的节点的传输信道号,以避免节点信息传输之间的相互干扰。通过实验测试和比较,本文提出的MSCA边缘计算算法在满足吞吐量和端到端延迟的同时,可以最大限度地减少信道干扰和网络整体能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Method of MSCA for Edge Computing
By innovative use of edge computing technology to construct a node data cache model and step-by-step calculation of node channel separation, a multi-strategy channel allocation algorithm (MSCA) for edge computing is proposed. The mechanism of this algorithm is to use edge computing technology to pre-store the data in the nodes in the multicast tree and calculate the channel separation between the nodes, and then select the transmission channel number of the node with the least interference to avoid mutual interference between node information transmissions. Through experimental tests and comparisons, the MSCA algorithm for edge computing presented in this paper can minimize channel interference and overall network energy consumption while satisfying throughput and end-to-end delay.
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